Papers with Code 아카이브

Logical Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

22

평가표

10

보존된 평가 기록

65

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nvlabs/bongard-hoi

공식 코드

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions

https://github.com/nx-ai/flashrnn

공식 코드

FlashRNN: Optimizing Traditional RNNs on Modern Hardware

https://github.com/oashua/mathagent

공식 코드

Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent

https://github.com/oatmealliu/msc-incd

공식 코드

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery

https://github.com/ogroth/shapestacks

공식 코드

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

https://github.com/omhall/collaborativeart

공식 코드

Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models

https://github.com/onlytailei/gym_ped_sim

공식 코드

Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

https://github.com/open-compass/mathbench

공식 코드

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark

https://github.com/open-compass/opencompass

공식 코드

NeedleBench: Can LLMs Do Retrieval and Reasoning in Information-Dense Context?

https://github.com/openbmb/eurus

공식 코드

Advancing LLM Reasoning Generalists with Preference Trees

https://github.com/opendatalab/provergen

공식 코드

Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation

https://github.com/opengvlab/gitm

공식 코드

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

https://github.com/opengvlab/gui-odyssey

공식 코드

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices

https://github.com/optsuite/o2o

공식 코드

ODE-based Learning to Optimize

https://github.com/oravus/lostX

공식 코드

LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics

https://github.com/oxfordhcc/solid-dtou

공식 코드

Perennial Semantic Data Terms of Use for Decentralized Web

https://github.com/ozyyshr/DGM

공식 코드

Fact-driven Logical Reasoning for Machine Reading Comprehension

https://github.com/ozyyshr/focalreasoner

공식 코드

Fact-driven Logical Reasoning for Machine Reading Comprehension

https://github.com/palaashagrawal/llmgraphtraversal

공식 코드

Can LLMs perform structured graph reasoning?

https://github.com/panshark/pirl-win

공식 코드

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning

https://github.com/parsahejabi/simulation-framework-for-multi-agent-balderdash

공식 코드

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash

https://github.com/patzhuang/lsa

공식 코드

Local Slot Attention for Vision-and-Language Navigation

https://github.com/paulopirozelli/logicalreasoning

공식 코드

Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models

https://github.com/pavel-blinov/mimic.profile

공식 코드

Medical Profile Model: Scientific and Practical Applications in Healthcare

https://github.com/peihaochen/ws-mgmap

공식 코드

Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation

https://github.com/petrosdemetrakopoulos/lstm-radar-precipitation-forecast

공식 코드

Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data

https://github.com/petrosgk/AudioRL

공식 코드

A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment

https://github.com/peustr/wt-pgd

공식 코드

Attacking Adversarial Defences by Smoothing the Loss Landscape

https://github.com/phlippe/citris

공식 코드

CITRIS: Causal Identifiability from Temporal Intervened Sequences

https://github.com/phoenixz810/risebench

공식 코드

Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

https://github.com/phohenecker/country-data-gen

공식 코드

Ontology Reasoning with Deep Neural Networks

https://github.com/phohenecker/family-tree-data-gen

공식 코드

Ontology Reasoning with Deep Neural Networks

https://github.com/pic4ser/agriseg

공식 코드

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation

https://github.com/picsolab/conspiratorial-narratives-at-scale

공식 코드

Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections

https://github.com/pjlab-adg/leapad

공식 코드

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

https://github.com/pku-dair/hetu-galvatron

공식 코드

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.